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04/17/2023
Snacks: a fast large-scale kernel SVM solver
Kernel methods provide a powerful framework for non parametric learning....
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09/26/2022
Least-squares methods for nonnegative matrix factorization over rational functions
Nonnegative Matrix Factorization (NMF) models are widely used to recover...
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05/18/2022
Validation of a photogrammetric approach for the study of ancient bowed instruments
Some ancient violins have been reduced throughout their history. We prop...
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04/21/2022
A two-level machine learning framework for predictive maintenance: comparison of learning formulations
Predicting incoming failures and scheduling maintenance based on sensors...
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01/11/2022
PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python
PEPit is a Python package aiming at simplifying the access to worst-case...
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01/26/2021
New Riemannian preconditioned algorithms for tensor completion via polyadic decomposition
We propose new Riemannian preconditioned algorithms for low-rank tensor ...
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08/28/2020
Alternating minimization algorithms for graph regularized tensor completion
We consider a low-rank tensor completion (LRTC) problem which aims to re...
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11/26/2014
